Some non-asymptotic properties of parametric bootstrap P-values in discrete models
From MaRDI portal
Publication:1950911
DOI10.1214/12-EJS751zbMath1295.62015MaRDI QIDQ1950911
Publication date: 28 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1357307945
Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Asymptotic properties of parametric tests (62F05)
Cites Work
- Unnamed Item
- Unnamed Item
- Computing the confidence levels for a root-mean-square test of goodness-of-fit
- A numerical investigation of the accuracy of parametric bootstrap for discrete data
- Computing highly accurate or exact \(P\)-values using importance sampling
- Parametric bootstrapping with nuisance parameters
- Simple and accurate one-sided inference from signed roots of likelihood ratios
- EXACTP-VALUES FOR DISCRETE MODELS OBTAINED BY ESTIMATION AND MAXIMIZATION
- Studentization and deriving accurate p-values
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- Unconditional Non-Asymptotic One-Sided Tests for Independent Binomial Proportions When the Interest Lies in Showing Non-Inferiority and/or Superiority
- P Values Maximized Over a Confidence Set for the Nuisance Parameter
- NOTE ON AN EXACT TREATMENT OF CONTINGENCY, GOODNESS OF FIT AND OTHER PROBLEMS OF SIGNIFICANCE
This page was built for publication: Some non-asymptotic properties of parametric bootstrap P-values in discrete models